A memory-efficient pipeline architecture for 2-D DWT of the 9/7 filter for JPEG 2000

Bing-Fei Wu*, Chung Fu Lin

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review

2 Scopus citations

Abstract

In this paper, we propose a memory-efficient pipeline architecture which performs the one-level two-dimensional discrete wavelet transform (2-D DWT) of the 9/7 filter for JPEG 2000. In general, the internal memory size of 2-D architecture highly depends on the pipeline registers of 1-D DWT. Based on the lifting-based DWT algorithm, the primitive data path is modified. Thus, an efficient pipeline architecture is derived to shorten the data path and decrease the internal memory size for 2-D DWT. That is, for an N×M image, only 5.5N size memory is required for the 9/7 filter to perform the one-level 2-D DWT decomposition with one multiplier delay (i.e. N and M indicate the height and width of an image). Based on the proposed architecture, the tradeoff between high speed and low internal memory for 2-D DWT can be eased.

Original languageEnglish
Pages44-47
Number of pages4
StatePublished - 31 Oct 2005
Event9th IEEE International Workshop on Cellular Neural Networks and their Applications, CNNA - Hsinchu, Taiwan
Duration: 28 May 200530 May 2005

Conference

Conference9th IEEE International Workshop on Cellular Neural Networks and their Applications, CNNA
CountryTaiwan
CityHsinchu
Period28/05/0530/05/05

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